Databricks
Sr. Forward Deployed Engineer - National Security
$182K–$250K
Boston, Massachusetts +8 · Remote · Senior · Full-time · Posted Aug 25, 2026
- Location
- Boston, Massachusetts
Delaware
Maryland
Remote - California
Remote - New York
Remote - Washington D.C.
Virginia
West Virginia
Remote - California - Experience
- 6+ years in data engineering, data platforms and analytics, or software engineering.
- Visa sponsorship
- U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information; candidates with an active Secret or higher clearance are strongly encouraged to apply.
About the job
Build and productionize secure data and AI solutions for federal customers using the Databricks platform, owning architecture and end-to-end delivery.
What you'll do
- Lead customer projects to design and deliver production-grade data, AI, and application systems.
- Advise and embed with customers on architecture, implementation, adoption, and technical delivery.
- Collaborate across customer and Databricks teams, resolving implementation issues and contributing reusable assets and product feedback.
What they ask for
- 6+ years in data engineering, data platforms and analytics, or software engineering.
- Fluency in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one; deep distributed-computing experience with Apache Spark and knowledge of Spark runtime internals.
- U.S. citizenship and eligibility for a U.S. government secret clearance to access classified information.
Nice to have
- Expertise in MLOps, ML/AI models, and AI APIs.
- Databricks Certification.
Pay
$182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary); $182,000 — $250,208 USD (base salary)
Tools
Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD
AI focus
Integrate ML/AI models and AI APIs into production data architectures and applications; support customers’ data and AI projects.
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